grc – AI Model by livles | AlphaNeural AI

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livles/
grc

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text2text-generation

generated_from_trainer

google/byt5-small

text-generation-inference

endpoints_compatible

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grc

This model is a fine-tuned version of google/byt5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2274

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
1.8172	1.0	625	0.3722
0.3078	2.0	1250	0.2583
0.1794	3.0	1875	0.2323
0.1152	4.0	2500	0.2274

Framework versions

Transformers 4.57.0
Pytorch 2.8.0+cu128
Datasets 4.2.0
Tokenizers 0.22.1